{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Hikyuu 交互式工具示例\n",
    "=============="
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1、引入交互式工具\n",
    "-----------------\n",
    "需从hikyuu.interactive引入，而不是直接从hikyuu库中引入（hikyuu是一个库，可用于编制其他的工具，而hikyuu.interactive.interactive是基于hikyuu库实现的交互式探索工具）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "std::cout are redirected to python::stdout\n",
      "std::cerr are redirected to python::stderr\n",
      "2021-02-10 22:51:37.238 [HKU-I] - Using SQLITE3 BaseInfoDriver (BaseInfoDriver.cpp:58)\n",
      "2021-02-10 22:51:37.242 [HKU-I] - Loading market information... (StockManager.cpp:473)\n",
      "2021-02-10 22:51:37.244 [HKU-I] - Loading stock type information... (StockManager.cpp:486)\n",
      "2021-02-10 22:51:37.245 [HKU-I] - Loading stock information... (StockManager.cpp:422)\n",
      "2021-02-10 22:51:37.339 [HKU-I] - Loading stock weight... (StockManager.cpp:503)\n",
      "2021-02-10 22:51:38.674 [HKU-I] - Loading KData... (StockManager.cpp:138)\n",
      "2021-02-10 22:51:38.688 [HKU-I] - Preloading all day kdata to buffer! (StockManager.cpp:161)\n",
      "2021-02-10 22:51:38.713 [HKU-I] - 0.04s Loaded Data. (StockManager.cpp:149)\n",
      "Wall time: 3.27 s\n"
     ]
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "%time from hikyuu.interactive import *\n",
    "#use_draw_engine('echarts') #use_draw_engine('matplotlib')  #默认为'matplotlib'绘图"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "2、创建交易系统并运行\n",
    "--------------------"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "#创建模拟交易账户进行回测，初始资金30万\n",
    "my_tm = crtTM(init_cash = 300000)\n",
    "\n",
    "#创建信号指示器（以5日EMA为快线，5日EMA自身的10日EMA作为慢线，快线向上穿越慢线时买入，反之卖出）\n",
    "my_sg = SG_Flex(EMA(n=5), slow_n=10)\n",
    "\n",
    "#固定每次买入1000股\n",
    "my_mm = MM_FixedCount(1000)\n",
    "\n",
    "#创建交易系统并运行\n",
    "sys = SYS_Simple(tm = my_tm, sg = my_sg, mm = my_mm)\n",
    "sys.run(sm['sz000001'], Query(-150))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "3、绘制曲线观察\n",
    "---------------"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#绘制系统信号\n",
    "sys.plot()\n",
    "\n",
    "k = sm['sz000001'].get_kdata(Query(-150))\n",
    "c = CLOSE(k)\n",
    "fast = EMA(c, 5)\n",
    "slow = EMA(fast, 10)\n",
    "\n",
    "#绘制信号指示器使用两个指标\n",
    "fast.plot(new=False)\n",
    "slow.plot(new=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "4、绘制资金收益曲线\n",
    "---------------------"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#绘制资金收益曲线\n",
    "x = my_tm.get_profit_curve(k.get_datetime_list(), Query.DAY)\n",
    "x = PRICELIST(x)\n",
    "x.plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "5、回测统计报告\n",
    "----------------------"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "帐户初始金额: 300000.00\n",
      "累计投入本金: 300000.00\n",
      "累计投入资产: 0.00\n",
      "累计借入现金: 0.00\n",
      "累计借入资产: 0.00\n",
      "累计红利: 0.00\n",
      "现金余额: 282160.00\n",
      "未平仓头寸净值: 24930.00\n",
      "当前总资产: 307090.00\n",
      "已平仓交易总成本: 0.00\n",
      "已平仓净利润总额: 1680.00\n",
      "单笔交易最大占用现金比例%: 6.47\n",
      "交易平均占用现金比例%: 5.77\n",
      "已平仓帐户收益率%: 0.56\n",
      "帐户年复合收益率%: 4.77\n",
      "帐户平均年收益率%: 4.71\n",
      "赢利交易赢利总额: 2600.00\n",
      "亏损交易亏损总额: -920.00\n",
      "已平仓交易总数: 4.00\n",
      "赢利交易数: 3.00\n",
      "亏损交易数: 1.00\n",
      "赢利交易比例%: 75.00\n",
      "赢利期望值: 420.00\n",
      "赢利交易平均赢利: 866.67\n",
      "亏损交易平均亏损: -920.00\n",
      "平均赢利/平均亏损比例: 0.94\n",
      "净赢利/亏损比例: 2.83\n",
      "最大单笔赢利: 1220.00\n",
      "最大单笔亏损: -920.00\n",
      "赢利交易平均持仓时间: 34.00\n",
      "赢利交易最大持仓时间: 48.00\n",
      "亏损交易平均持仓时间: 7.00\n",
      "亏损交易最大持仓时间: 7.00\n",
      "空仓总时间: 75.00\n",
      "空仓时间/总时间%: 40.00\n",
      "平均空仓时间: 18.00\n",
      "最长空仓时间: 35.00\n",
      "最大连续赢利笔数: 3.00\n",
      "最大连续亏损笔数: 1.00\n",
      "最大连续赢利金额: 2600.00\n",
      "最大连续亏损金额: -920.00\n",
      "R乘数期望值: 0.03\n",
      "交易机会频率/年: 7.98\n",
      "年度期望R乘数: 0.24\n",
      "赢利交易平均R乘数: 0.06\n",
      "亏损交易平均R乘数: -0.05\n",
      "最大单笔赢利R乘数: 0.09\n",
      "最大单笔亏损R乘数: -0.05\n",
      "最大连续赢利R乘数: 0.06\n",
      "最大连续亏损R乘数: -0.05\n",
      "\n"
     ]
    }
   ],
   "source": [
    "#回测统计\n",
    "from datetime import datetime\n",
    "\n",
    "per = Performance()\n",
    "print(per.report(my_tm, Datetime(datetime.today())))\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "6、关于性能\n",
    "---------------\n",
    "\n",
    "经常有人问到性能问题，下面这段的代码使用之前的系统示例，遍历指定板块的所有股票，计算他们的“盈利交易比例%”（即胜率）。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "def test_func(stock, query):\n",
    "    \"\"\"计算指定stock的系统策略胜率，系统策略为之前的简单双均线交叉系统（每次固定买入100股）\n",
    "    \"\"\"\n",
    "    #创建模拟交易账户进行回测，初始资金30万\n",
    "    my_tm = crtTM(init_cash = 1000000)\n",
    "\n",
    "    #创建信号指示器（以5日EMA为快线，5日EMA自身的10日EMA作为慢线，快线向上穿越慢线时买入，反之卖出）\n",
    "    my_sg = SG_Flex(EMA(n=5), slow_n=10)\n",
    "\n",
    "    #固定每次买入1000股\n",
    "    my_mm = MM_FixedCount(100)\n",
    "\n",
    "    #创建交易系统并运行\n",
    "    sys = SYS_Simple(tm = my_tm, sg = my_sg, mm = my_mm)\n",
    "    sys.run(stock, query)\n",
    "    \n",
    "    per = Performance()\n",
    "    per.statistics(my_tm, Datetime(datetime.today()))\n",
    "    return per[\"赢利交易比例%\".encode('gb2312')]\n",
    "\n",
    "def total_func(blk, query):\n",
    "    \"\"\"遍历指定板块的所有的股票，计算系统胜率\"\"\"\n",
    "    result = {}\n",
    "    for s in blk:\n",
    "        if s.valid and s.type != constant.STOCKTYPE_INDEX:\n",
    "            result[s.name] = test_func(s, query)\n",
    "    return result"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "遍历所有当前有效且并非指数的证券。下面是我的机器执行结果，共计算4151支证券，最近500个交易日，共耗时2.89秒。机器配置：Intel i7-4700HQ 2.G。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2021-02-10 22:52:22.410 [HKU-I] - KData is empty! (System.cpp:275)\n",
      "2021-02-10 22:52:22.490 [HKU-I] - KData is empty! (System.cpp:275)\n",
      "2021-02-10 22:52:22.546 [HKU-I] - KData is empty! (System.cpp:275)\n",
      "2021-02-10 22:52:23.213 [HKU-I] - KData is empty! (System.cpp:275)\n",
      "2021-02-10 22:52:23.547 [HKU-I] - KData is empty! (System.cpp:275)\n",
      "2021-02-10 22:52:23.549 [HKU-I] - KData is empty! (System.cpp:275)\n",
      "2021-02-10 22:52:23.580 [HKU-I] - KData is empty! (System.cpp:275)\n",
      "2021-02-10 22:52:23.732 [HKU-I] - KData is empty! (System.cpp:275)\n",
      "2021-02-10 22:52:23.761 [HKU-I] - KData is empty! (System.cpp:275)\n",
      "2021-02-10 22:52:24.365 [HKU-I] - KData is empty! (System.cpp:275)\n",
      "2021-02-10 22:52:24.548 [HKU-I] - KData is empty! (System.cpp:275)\n",
      "2021-02-10 22:52:24.707 [HKU-I] - KData is empty! (System.cpp:275)\n",
      "2021-02-10 22:52:24.818 [HKU-I] - KData is empty! (System.cpp:275)\n",
      "2021-02-10 22:52:24.880 [HKU-I] - KData is empty! (System.cpp:275)\n",
      "2021-02-10 22:52:25.013 [HKU-I] - KData is empty! (System.cpp:275)\n",
      "2021-02-10 22:52:25.060 [HKU-I] - KData is empty! (System.cpp:275)\n",
      "2021-02-10 22:52:25.067 [HKU-I] - KData is empty! (System.cpp:275)\n",
      "2021-02-10 22:52:25.068 [HKU-I] - KData is empty! (System.cpp:275)\n",
      "2021-02-10 22:52:25.068 [HKU-I] - KData is empty! (System.cpp:275)\n",
      "2021-02-10 22:52:25.069 [HKU-I] - KData is empty! (System.cpp:275)\n",
      "2021-02-10 22:52:25.070 [HKU-I] - KData is empty! (System.cpp:275)\n",
      "2021-02-10 22:52:25.070 [HKU-I] - KData is empty! (System.cpp:275)\n",
      "2021-02-10 22:52:25.071 [HKU-I] - KData is empty! (System.cpp:275)\n",
      "2021-02-10 22:52:25.079 [HKU-I] - KData is empty! (System.cpp:275)\n",
      "2021-02-10 22:52:25.087 [HKU-I] - KData is empty! (System.cpp:275)\n",
      "2021-02-10 22:52:25.088 [HKU-I] - KData is empty! (System.cpp:275)\n",
      "2021-02-10 22:52:25.089 [HKU-I] - KData is empty! (System.cpp:275)\n",
      "2021-02-10 22:52:25.090 [HKU-I] - KData is empty! (System.cpp:275)\n",
      "2021-02-10 22:52:25.091 [HKU-I] - KData is empty! (System.cpp:275)\n",
      "2021-02-10 22:52:25.092 [HKU-I] - KData is empty! (System.cpp:275)\n",
      "2021-02-10 22:52:25.092 [HKU-I] - KData is empty! (System.cpp:275)\n",
      "2021-02-10 22:52:25.126 [HKU-I] - KData is empty! (System.cpp:275)\n",
      "2021-02-10 22:52:25.127 [HKU-I] - KData is empty! (System.cpp:275)\n",
      "2021-02-10 22:52:25.128 [HKU-I] - KData is empty! (System.cpp:275)\n",
      "2021-02-10 22:52:25.131 [HKU-I] - KData is empty! (System.cpp:275)\n",
      "2021-02-10 22:52:25.132 [HKU-I] - KData is empty! (System.cpp:275)\n",
      "2021-02-10 22:52:25.134 [HKU-I] - KData is empty! (System.cpp:275)\n",
      "2021-02-10 22:52:25.143 [HKU-I] - KData is empty! (System.cpp:275)\n",
      "2021-02-10 22:52:25.145 [HKU-I] - KData is empty! (System.cpp:275)\n",
      "2021-02-10 22:52:25.146 [HKU-I] - KData is empty! (System.cpp:275)\n",
      "2021-02-10 22:52:25.147 [HKU-I] - KData is empty! (System.cpp:275)\n",
      "2021-02-10 22:52:25.149 [HKU-I] - KData is empty! (System.cpp:275)\n",
      "2021-02-10 22:52:25.150 [HKU-I] - KData is empty! (System.cpp:275)\n",
      "2021-02-10 22:52:25.151 [HKU-I] - KData is empty! (System.cpp:275)\n",
      "2021-02-10 22:52:25.151 [HKU-I] - KData is empty! (System.cpp:275)\n",
      "2021-02-10 22:52:25.152 [HKU-I] - KData is empty! (System.cpp:275)\n",
      "2021-02-10 22:52:25.153 [HKU-I] - KData is empty! (System.cpp:275)\n",
      "2021-02-10 22:52:25.153 [HKU-I] - KData is empty! (System.cpp:275)\n",
      "2021-02-10 22:52:25.154 [HKU-I] - KData is empty! (System.cpp:275)\n",
      "Wall time: 3.17 s\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "4677"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%time a = total_func(sm, Query(-500))\n",
    "len(a)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}
